Member of Technical Staff - RL Inference

<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif;">SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.&nbsp;</span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3><strong>ABOUT THE ROLE:</strong></h3> <p>The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.</p> <p><strong>RESPONSIBILITIES:</strong></p> <ul> <li>Design and optimize our inference stack for all shapes of RL workloads at SpaceXAI, from small scale ablations to production training runs.</li> <li>Analyze, profile and address performance bottlenecks in large scale RL systems</li> <li>Work closely with the modelling team to efficiently implement novel RL techniques and algorithms</li> </ul> <h3><strong>BASIC QUALIFICATIONS:</strong></h3> <ul> <li>Experience in building, debugging, and optimizing efficiency of large-scale distributed systems</li> <li>Experience in LLM inference</li> <li>Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA</li> <li>Willingness to dive deep and solve hardcore problems at all levels of the stack</li